iPad Pro 13-inch (M4)
Geekbench AI Score
4983
Single Precision Score
8049
Half Precision Score
6410
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19422
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16616
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4353
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9834
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24472
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38640
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31688
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5994
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8025
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8116
140.2 IPS |
